DVB-S中卫星通信系统的基带仿真（Matlab代码实现）

news/2025/1/23 18:48:58/

💥1 概述

📚2 运行结果

🎉3 参考文献

👨‍💻4 Matlab代码

💥1 概述

数字视频广播(DVB)在卫星通信数字多媒体业务领域应用广泛,其一般采用MPEG-2编码、数字传输和纠错处理等通用技术,然而,当第三方(非合作方)通过卫星天线截获信号时,由于卫星信号种类繁多、接收信号信噪比低、分析出的音视频和网络数据业务质量差等因素,准确识别分析处理卫星DVB-S信号存在较大的困难。因此,本文针对性地设计了一套卫星通信DVB-S信号识别系统,该系统处理的信号规格全、集成度高,能在有效时间内完成对DVB-S信号的搜索确定、自动采集、精确分析和控守处理。

本代码包含DVB-S中卫星通信系统的基带仿真，并探索了调制方案和编码速率的性能。代码模拟的无线信道主要是AWGN信道、瑞利衰落信道。

📚2 运行结果

主函数部分代码：

% 
clear all;
puncturepattern12=[1;1];%puncture pattern when the code rate=1/2
puncturepattern23=[1;1;0;1];                                                                                                   %2/3
puncturepattern56=[1;1;0;1;1;0;0;1;1;0];  
puncturepatternSelect=[puncturepattern12;puncturepattern23;puncturepattern56];
PC=[1,2;3,6;7,16];
tracebackdepthSelect=[60,75,120];
coderateSelect=[1/2,2/3,5/6];
M=4;
EbN0=-4:0.1:16;
BER_QPSK=zeros(3,length(EbN0));
EsNo=EbN0+10*log10(log2(M));
for b=1:3
EbNoratesemilogy=zeros(1,length(EbN0));  
hConvEnc = comm.ConvolutionalEncoder(poly2trellis(7,[133 171]));       %maybe need to change the 133 171
hConvEnc.PuncturePatternSource = 'Property';
hConvEnc.PuncturePattern =puncturepatternSelect(PC(b,1):PC(b,2),1);
hMod = comm.PSKModulator(M, 'BitInput',true); 

hDemod = comm.PSKDemodulator(M, 'BitOutput',true);
hVitDec = comm.ViterbiDecoder(poly2trellis(7,[133 171]),...'InputFormat','Hard');

hVitDec.PuncturePatternSource  = 'Property';                           %property not sure
hVitDec.PuncturePattern = hConvEnc.PuncturePattern;
hVitDec.TracebackDepth = tracebackdepthSelect(b);

hErrorCalc = comm.ErrorRate('ReceiveDelay',hVitDec.TracebackDepth);


EbNoEncoderOutput = EbN0 +10*log10(coderateSelect(b));

frameLength =45000;                                                     %framelength/maxnumtransmissions
targetErrors = 100; %100 errors max
maxNumTransmissions =10000000;
BERVec = zeros(3,length(EbNoEncoderOutput));
%BERp=zeros(3,length(EbNoEncoderOutput));

for n=1:length(EbNoEncoderOutput)reset(hErrorCalc);reset(hConvEnc);reset(hVitDec);[EbNoEncoderOutput(n),coderateSelect(b)]hChan = comm.AWGNChannel('NoiseMethod','Signal to noise ratio (Es/No)','EsNo',EsNo(n));           %signalpower not sure
while(BERVec(2,n) < targetErrors)&&(BERVec(3,n)<maxNumTransmissions)data = randi([0 1],frameLength,1);                               %use framelength to create random number?encData = step(hConvEnc, data);modData = step(hMod,encData);channelOutput = step(hChan,modData);DemodData = step(hDemod, channelOutput);decData = step(hVitDec, (DemodData));%d = tracebackdepthSelect;BERVec(:,n) = step(hErrorCalc, data, decData);endif BERVec(1,n)<2e-6BER_QPSK(b,:) = BERVec(1,:);
%BERp(b,:)=BERVec(1,:);
save('BPSK_sim_3.mat','EbN0','BER_QPSK');
load('BPSK_sim_3.mat');

figure(1)
semilogy(EbN0,BER_QPSK(b,:),'-');
hold on;

grid on;
title('Part2 question1 BER verus Eb/N0 curve without RS outer code ');
ylabel('BER');
xlabel('EbN0 Ratio'); breakend
end

%BERp(b,:)=BERVec(1,:);
save('BPSK_sim_3.mat','EbN0','BER_QPSK');
load('BPSK_sim_3.mat');end